Triple
T20650483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mrs Wilson |
E507476
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Alison Wilson |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Alison Wilson | Statement: [Mrs Wilson, featuresCharacter, Alison Wilson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alison Wilson Context triple: [Mrs Wilson, featuresCharacter, Alison Wilson]
-
A.
Alison Wilson
chosen
Alison Wilson is the central character in the British drama series "Mrs Wilson," based on the true story of a woman who discovers her late husband's secret double life.
-
B.
Alison Reid
Alison Reid is an actress known for her role in the period drama film "Esther Kahn."
-
C.
Alison Porter
Alison Porter is a central character in John Osborne’s play "Look Back in Anger," portrayed as the emotionally conflicted and long-suffering wife of the protagonist, Jimmy Porter.
-
D.
Alison Wright
Alison Wright is a British actress known for her acclaimed television roles, including standout performances in series such as "The Americans" and "Sneaky Pete."
-
E.
Alison Woods
Alison Woods is an American actress best known for her role in the horror-comedy film "Detention."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0b4bf58c081908e52a4500e03ff83 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6af2133048190a6308074a3b3347e |
completed | April 20, 2026, 10:56 p.m. |
Created at: April 16, 2026, 11:43 a.m.